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05.02.2023 | Original Paper

Strategies of Managing Repeated Measures: Using Synthetic Random Forest to Predict HIV Viral Suppression Status Among Hospitalized Persons with HIV

verfasst von: Jingxin Liu, Yue Pan, Mindy C. Nelson, Lauren K. Gooden, Lisa R. Metsch, Allan E. Rodriguez, Susan Tross, Carlos del Rio, Raul N. Mandler, Daniel J. Feaster

Erschienen in: AIDS and Behavior | Ausgabe 9/2023

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Abstract

The HIV/AIDS epidemic remains a major public health concern since the 1980s; untreated HIV infection has numerous consequences on quality of life. To optimize patients’ health outcomes and to reduce HIV transmission, this study focused on vulnerable populations of people living with HIV (PLWH) and compared different predictive strategies for viral suppression using longitudinal or repeated measures. The four methods of predicting viral suppression are (1) including the repeated measures of each feature as predictors, (2) utilizing only the initial (baseline) value of the feature as predictor, (3) using the last observed value as the predictors and (4) using a growth curve estimated from the features to create individual-specific prediction of growth curves as features. This study suggested the individual-specific prediction of the growth curve performed the best in terms of lowest error rate on an independent set of test data.

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Titel: Strategies of Managing Repeated Measures: Using Synthetic Random Forest to Predict HIV Viral Suppression Status Among Hospitalized Persons with HIV
verfasst von: Jingxin Liu
Yue Pan
Mindy C. Nelson
Lauren K. Gooden
Lisa R. Metsch
Allan E. Rodriguez
Susan Tross
Carlos del Rio
Raul N. Mandler
Daniel J. Feaster
Publikationsdatum: 05.02.2023
Verlag: Springer US
Erschienen in: AIDS and Behavior / Ausgabe 9/2023
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI: https://doi.org/10.1007/s10461-023-04015-1

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Strategies of Managing Repeated Measures: Using Synthetic Random Forest to Predict HIV Viral Suppression Status Among Hospitalized Persons with HIV

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Nach Herzinfarkt mit Typ-1-Diabetes schlechtere Karten als mit Typ 2?

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